一种改进的小波阈值去噪方法

为了改进滤波效果,提高去噪质量,在分析目前被广泛应用的软、硬阈值去噪方法的基础上,提出了一种改进的阈值去噪方法.该方法既兼顾了软、硬阈值函数的优点,同时又在一定程度上弥补了它们在图像去噪中的缺陷.有效克服了硬阈值法去噪信号失真的和软阈值法细节模糊现象.仿真结果表明:该方法可以有效地去除白噪声干扰,无论在视觉效果上还是在信噪比定量指标上均明显优于传统的软、硬阈值算法,达到良好的去噪效果.

An Improved Method for Wavelet Threshold De-noising

An improved method for wavelet threshold de-noising put forward to promote the filtering effect and the quality of denoising based on the analysis of the soft and hard threshold denoising.It maintains the advantage of the soft threshold and hard threshold denoising method.At the same time,the method compensates for the lack of two kinds of algorithms in a certain extent.It is an effective method to overcome distortion of denoising the signal of hard threshold or vague details of soft threshold method.The results of simulation show:the method can remove the white noise effectively,and achieve good results.It is better than soft and hard threshold algorithms in the visual effects and signal to noise ratio quantitative index.